{"id":"https://openalex.org/W4384703555","doi":"https://doi.org/10.1109/metroind4.0iot57462.2023.10180178","title":"Application of CRISP-DM and DMME to a Case Study of Condition Monitoring of Lens Coating Machines","display_name":"Application of CRISP-DM and DMME to a Case Study of Condition Monitoring of Lens Coating Machines","publication_year":2023,"publication_date":"2023-06-06","ids":{"openalex":"https://openalex.org/W4384703555","doi":"https://doi.org/10.1109/metroind4.0iot57462.2023.10180178"},"language":"en","primary_location":{"id":"doi:10.1109/metroind4.0iot57462.2023.10180178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroind4.0iot57462.2023.10180178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059486427","display_name":"Fatima Sajid Butt","orcid":"https://orcid.org/0000-0002-9111-7305"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]},{"id":"https://openalex.org/I5237613","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11","country_code":"DE","type":"education","lineage":["https://openalex.org/I5237613"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fatima Sajid Butt","raw_affiliation_strings":["Frankfurt University of Applied Sciences,INDAS, Faculty 2 of Computer Science and Engineering,Germany","INDAS, Faculty 2 of Computer Science and Engineering, Frankfurt University of Applied Sciences, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Frankfurt University of Applied Sciences,INDAS, Faculty 2 of Computer Science and Engineering,Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]},{"raw_affiliation_string":"INDAS, Faculty 2 of Computer Science and Engineering, Frankfurt University of Applied Sciences, Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077260444","display_name":"J\u00f6rg Sch\u00e4fer","orcid":"https://orcid.org/0000-0003-4797-0306"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]},{"id":"https://openalex.org/I5237613","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11","country_code":"DE","type":"education","lineage":["https://openalex.org/I5237613"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00f6rg Sch\u00e4fer","raw_affiliation_strings":["Frankfurt University of Applied Sciences,INDAS, Faculty 2 of Computer Science and Engineering,Germany","INDAS, Faculty 2 of Computer Science and Engineering, Frankfurt University of Applied Sciences, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Frankfurt University of Applied Sciences,INDAS, Faculty 2 of Computer Science and Engineering,Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]},{"raw_affiliation_string":"INDAS, Faculty 2 of Computer Science and Engineering, Frankfurt University of Applied Sciences, Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090972470","display_name":"Matthias Wagner","orcid":"https://orcid.org/0000-0002-8702-9257"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]},{"id":"https://openalex.org/I5237613","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11","country_code":"DE","type":"education","lineage":["https://openalex.org/I5237613"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias F. Wagner","raw_affiliation_strings":["Frankfurt University of Applied Sciences,INDAS, Faculty 2 of Computer Science and Engineering,Germany","INDAS, Faculty 2 of Computer Science and Engineering, Frankfurt University of Applied Sciences, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Frankfurt University of Applied Sciences,INDAS, Faculty 2 of Computer Science and Engineering,Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]},{"raw_affiliation_string":"INDAS, Faculty 2 of Computer Science and Engineering, Frankfurt University of Applied Sciences, Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085374291","display_name":"Dirk Stegelmeyer","orcid":"https://orcid.org/0000-0001-7918-3732"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]},{"id":"https://openalex.org/I5237613","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11","country_code":"DE","type":"education","lineage":["https://openalex.org/I5237613"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dirk Stegelmeyer","raw_affiliation_strings":["Frankfurt University of Applied Sciences,INDAS, Faculty 2 of Computer Science and Engineering,Germany","INDAS, Faculty 2 of Computer Science and Engineering, Frankfurt University of Applied Sciences, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Frankfurt University of Applied Sciences,INDAS, Faculty 2 of Computer Science and Engineering,Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]},{"raw_affiliation_string":"INDAS, Faculty 2 of Computer Science and Engineering, Frankfurt University of Applied Sciences, Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092495832","display_name":"David Gomez-Ullate Oteiza","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Gomez-Ullate Oteiza","raw_affiliation_strings":["Universidad de Cádiz,Escuela Superior de Ingeniería,Cádiz,Spain,11001"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Cádiz,Escuela Superior de Ingeniería,Cádiz,Spain,11001","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7524,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76207995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"409","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.970300018787384,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.7249864339828491},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6479246020317078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5980119109153748},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5410463213920593},{"id":"https://openalex.org/keywords/proof-of-concept","display_name":"Proof of concept","score":0.48101502656936646},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.4778537452220917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43761250376701355},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4183821976184845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3801756501197815},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3553590774536133},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2436009645462036}],"concepts":[{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.7249864339828491},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6479246020317078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5980119109153748},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5410463213920593},{"id":"https://openalex.org/C124978682","wikidata":"https://www.wikidata.org/wiki/Q1201019","display_name":"Proof of concept","level":2,"score":0.48101502656936646},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.4778537452220917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43761250376701355},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4183821976184845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3801756501197815},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3553590774536133},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2436009645462036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroind4.0iot57462.2023.10180178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroind4.0iot57462.2023.10180178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320328464","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1581592895","https://openalex.org/W1586759373","https://openalex.org/W1918839972","https://openalex.org/W2102636708","https://openalex.org/W2134802662","https://openalex.org/W2752214953","https://openalex.org/W2921555380","https://openalex.org/W2998701638","https://openalex.org/W3026662013","https://openalex.org/W3119290870","https://openalex.org/W3130255873","https://openalex.org/W3158459113","https://openalex.org/W4200249050"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W1980100242","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W4315815996"],"abstract_inverted_index":{"Condition":[0],"monitoring":[1],"industrial":[2,9,24,48,94,101],"machinery":[3],"by":[4],"using":[5],"data":[6,21,49,95],"mining":[7],"in":[8,15,29,35,56,61,67,168,175,195,200],"projects":[10],"has":[11],"been":[12],"extensively":[13],"extended":[14],"the":[16,36,40,64,68,140,144,151,158,165,173,196],"last":[17],"few":[18,33],"years.":[19],"Applying":[20],"science":[22,50],"to":[23,188],"processes":[25],"should":[26],"be":[27],"straightforward":[28],"theory,":[30],"but":[31],"very":[32],"instances":[34],"literature":[37,197],"deal":[38],"with":[39,63],"actual":[41],"practical":[42],"issues":[43,166],"encountered":[44],"while":[45],"carrying":[46],"out":[47],"projects.":[51],"The":[52,93],"case":[53,179],"study":[54],"discussed":[55],"this":[57],"paper":[58],"was":[59,96],"pursued":[60],"accordance":[62],"steps":[65],"outlined":[66],"standard":[69,159],"CRISP-DM":[70,162,201],"(CRoss-Industry":[71],"Standard":[72],"Process":[73],"for":[74,82,90,138],"Data":[75],"Mining)":[76],"including":[77],"its":[78],"latest":[79],"holistic":[80],"approach":[81],"engineering":[83],"applications":[84],"called":[85],"DMME":[86],"(Data":[87],"Mining":[88],"Methodology":[89],"Engineering":[91],"Applications).":[92],"acquired":[97],"as":[98,134],"part":[99],"of":[100,136,143,153,157,172],"cooperation":[102],"from":[103],"multiple":[104],"anti-reflective":[105],"lens":[106],"coating":[107],"machines.":[108],"Various":[109],"deep":[110],"learning":[111,121],"(DL)":[112],"models":[113,123],"like":[114,124],"long":[115],"short-term":[116],"memory":[117],"(LSTM),":[118],"and":[119,127,155,202],"machine":[120],"(ML)":[122],"Decision":[125],"Trees":[126],"Support":[128],"Vector":[129],"Machines":[130],"(SVM)":[131],"were":[132],"used":[133],"proof":[135],"concept":[137],"confirming":[139],"domain":[141],"understanding":[142],"process":[145,160,174],"experts.":[146],"Our":[147],"main":[148],"contribution":[149],"is":[150],"description":[152],"deficiencies":[154],"gaps":[156,199],"framework":[161],"based":[163],"on":[164,198],"faced":[167],"implementing":[169],"each":[170],"phase":[171],"a":[176],"real":[177],"world":[178],"study.":[180],"In":[181],"addition,":[182],"we":[183],"propose":[184],"future":[185],"research":[186],"ideas":[187],"close":[189],"these":[190],"gaps.":[191],"This":[192],"complements":[193],"findings":[194],"DMME.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}